Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique
نویسندگان
چکیده
منابع مشابه
Correction of failure in linear antenna arrays with greedy sparseness constrained optimization technique
This paper proposes the correction of faulty sensors using a synthesis of the greedy sparse constrained optimization GSCO) technique. The failure of sensors can damage the radiation power pattern in terms of sidelobes and nulls. The synthesis problem can recover the wanted power pattern with reduced number of sensors into the background of greedy algorithm and solved with orthogonal matching pu...
متن کاملConstrained Beamformer Optimization for Adaptive Antenna Arrays
Digital beamforming algorithms are commonly used for spatial filtering which effectively result in more benign channel characterestics with reduced interference and delay spread. A new constrained beamforming (CBF) algorithm is presented which allows optimum beam steering and interference cancellation for arbitrarily spaced directions The proposed CBF combines the properties of the Bartlett and...
متن کاملFailure Correction of Linear Array Antenna Using Cuckoo Search Algorithm
The influence of evolutionary algorithms enhanced its scope of getting its existence in almost every complex optimization problems. In this paper, cuckoo search algorithm, an algorithm based on the brood parasite behavior along with Levy weights has been proposed for the radiation pattern correction of a linear array of isotropic antennas with uniform spacing when failed with more than one ante...
متن کاملA Linear Antenna Array Failure Correction Using Firefly Algorithm
The element failure of antenna arrays increases the sidelobe power level. In this paper, the problem of antenna array failure has been addressed using Firefly Algorithm (FA) by controlling only the amplitude excitation of array elements. A fitness function has been formulated to obtain the error between pre-failed (original) sidelobe pattern and measured sidelobe pattern and this function has b...
متن کاملSparseness - constrained seismic deconvolution with Curvelets
Continuity along reflectors in seismic images is used via Curvelet representation to stabilize the convolution operator inversion. The Curvelet transform is a new multiscale transform that provides sparse representations for images that comprise smooth objects separated by piece-wise smooth discontinuities (e.g. seismic images). Our iterative Curvelet-regularized deconvolution algorithm combine...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2017
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0189240